Q1: Interpret the simple regression results in detailstep by step.Regression Analysis: Time versus MilesRegression EquationTimeCoefficientsTermConstantMilesModel SummaryErrorS1.00179Lack-of-FitPure ErrorTotal1.27 0.0678 MilesAnalysis of VarianceSourceRegressionMilesCoef1.270.0678R-sq66.41%DF118449SE Coef1.400.0171Adj SS15.87115.8718.0292.1375.89223.900T-Value0.913.98R-sq(adj)62.21%Adj MS15.871315.87131.00360.53431.4729P-Value0.3900.004 1.00R-sq(pred)48.89%F-Value15.8115.81VIF0.36P-Value0.0040.0040.825 Time1098A10in••5060Scatterplot of Time vs Miles70Miles8090100

The simple linear regression model, examining the relationship between time (dependent variable) and…

Answered: Q1: Inter step by ste Regression

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 4GP

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The service regresses the number of complaints lodged against an employee last year on the hourly wage of the employee for the year. The analyst ran a simple linear regression shown below. Table 7: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .854a .730 .695 6.6235 a. Predictors: (Constant), Hourly Wage Table 8: ANOVA ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 1918.458 1 1918.458 129.783 .000a Residual 709.567 48 14.782 Total 2628.025 49 a. Predictors: (Constant), Hourly Wage b. Dependent Variable: Number of Complaints Table 9: Coefficients Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 20.2 4.357 4.636 .000 Hourly Wage -1.20 .088 -.946 -13.636 .000 a. Dependent Variable: Number of…
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